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Update ConeML profile for 810M release

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  # ConeML
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- ConeML develops compact domain language models and training methodology focused on capability engineering, corpus design, curriculum design, activation, and evaluation.
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  The company works upstream of the application layer: first determining whether specialized AI is viable for a measurable workflow, then engineering and evaluating the system around that behavior.
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  - Domain-model feasibility and capability analysis
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  - Corpus and curriculum engineering
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- - Compact model training and adaptation
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  - Held-out, machine-verified, and calibration-focused evaluation
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  - Regression testing, maintenance, and system evolution
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  ConeML's public model releases are research artifacts that make measured capability movement and failure boundaries inspectable. The models are evidence; the engineering methodology is the differentiator.
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- ### Current Release: ConeML 348M Gamma
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- Gamma is a 348M-parameter, scratch-trained compact language model with a 4,096-token context window, published raw evaluation artifacts, measurable executable-code gains, and deep held-out relational-reasoning results.
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- - [ConeML 348M Gamma](https://huggingface.co/ConeML/coneml-348m-gamma)
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- - [Gamma research notes](https://coneml.com/research/coneml-348m-gamma/)
 
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  - [Public release lineage](https://coneml.com/research/)
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- Public research models are released for non-commercial use under CC BY-NC 4.0 unless stated otherwise.
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  ## ConeML
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  # ConeML
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+ ConeML is an independent model lab developing language models and training methodology focused on capability engineering, corpus design, curriculum design, activation, and evaluation.
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  The company works upstream of the application layer: first determining whether specialized AI is viable for a measurable workflow, then engineering and evaluating the system around that behavior.
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  - Domain-model feasibility and capability analysis
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  - Corpus and curriculum engineering
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+ - Model training and adaptation
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  - Held-out, machine-verified, and calibration-focused evaluation
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  - Regression testing, maintenance, and system evolution
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  ConeML's public model releases are research artifacts that make measured capability movement and failure boundaries inspectable. The models are evidence; the engineering methodology is the differentiator.
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+ ### Latest Release: ConeML 810M Alpha Family
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+ The fourth public ConeML model introduces a scratch-trained 810M family with an 8,192-token context. ConeML 810M Alpha favors executed single-function writing and two-step tasks; ConeML 810M Alpha-Arithmetic records a stronger four-lane arithmetic profile. Both ship as Hugging Face weights plus F16 and tested Q8_0 GGUFs.
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+ - [ConeML 810M Alpha](https://huggingface.co/ConeML/coneml-810m-alpha)
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+ - [ConeML 810M Alpha-Arithmetic](https://huggingface.co/ConeML/coneml-810m-alpha-arithmetic)
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+ - [810M release analysis](https://coneml.com/research/coneml-810m-alpha/)
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  - [Public release lineage](https://coneml.com/research/)
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+ The model cards publish task-family-matched strengths beside weak GSM8K and HumanEval results, peer wins, resource assumptions, and known limitations. Public research models are released for non-commercial use under CC BY-NC 4.0 unless stated otherwise.
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  ## ConeML
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